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Some improvements in README
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Notebooks/learning_from_unbalanced_clases.ipynb
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# Learning
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# Learning
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## News
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## Getting the News
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* Feedly with [list of blogs to follow](https://raw.githubusercontent.com/bt3gl/Machine-Learning-Resources/master/ml_ai_feedly.opml).
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* Feedly with [list of blogs to follow](https://raw.githubusercontent.com/bt3gl/Machine-Learning-Resources/master/ml_ai_feedly.opml).
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* Check [my blog](http://bt3gl.github.io/) :).
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* Check [my blog](http://bt3gl.github.io/) :).
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* [CreativeAI](http://www.creativeai.net/).
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* [Deep Learning weekly](http://www.deeplearningweekly.com/).
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* [Deep Learning weekly](http://www.deeplearningweekly.com/).
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### Fun:
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### Fun:
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* [LossFunctions.tumblr](http://lossfunctions.tumblr.com/).
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* [LossFunctions.tumblr](http://lossfunctions.tumblr.com/).
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* [CreativeAI](http://www.creativeai.net/).
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---
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---
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## Deep Learning
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## Deep Learning
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### Reinforcement Learning
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### Reinforcement Learning
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* [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
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* [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
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### ConvNets
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### ConvNets
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* [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
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* [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
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* [The 9 CNN Papers You Need To Know About](https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html).
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### Hardware
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### Hardware
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Talks/intro_RL/intro_RL.pdf
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Talks/intro_RL/intro_RL.pdf
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